Search Results for author: John C. Stendahl

Found 3 papers, 0 papers with code

An Adaptive Correspondence Scoring Framework for Unsupervised Image Registration of Medical Images

no code implementations1 Dec 2023 Xiaoran Zhang, John C. Stendahl, Lawrence Staib, Albert J. Sinusas, Alex Wong, James S. Duncan

As the unsupervised learning scheme relies on intensity constancy to establish correspondence between images for reconstruction, this introduces spurious error residuals that are not modeled by the typical training objective.

Image Reconstruction Image Registration +1

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